I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
OCR Based Deep Learning Approach for Image Captioning:
, In:
2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
,
Jayaswal, Vishal
;
Ji, Sharma
;
Kumar, Ashish
.. - p. 239-244 , 2024
Link:
https://doi.org/10.1109/IC2PCT60090.2024.10486670
RT T1 <cTitle>2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)</cTitle>: T1 <Title>OCR Based Deep Learning Approach for Image Captioning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10486670&Exemplar=1&LAN=DE A1 Jayaswal, Vishal A1 Ji, Sharma A1 Kumar, Ashish A1 Kumar, Varun A1 Prakash, Ayushi YR 2024 K1 Deep learning K1 Visualization K1 Power measurement K1 Density measurement K1 Optical character recognition K1 Communications technology K1 Task analysis K1 OCR K1 Clip GPT-2 K1 BART K1 Deep Learning SP 239 OP 244 LK http://dx.doi.org/https://doi.org/10.1109/IC2PCT60090.2024.10486670 DO https://doi.org/10.1109/IC2PCT60090.2024.10486670 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
